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- W2054686020 abstract "We provide a formally rigorous framework for integrating singular causation, as understood by Nuel Belnap's theory of causae causantes, and objective single case probabilities. The central notion is that of a causal probability space whose sample space consists of causal alternatives. Such a probability space is generally not isomorphic to a product space. We give a causally motivated statement of the Markov condition and an analysis of the concept of screening-off. 1. Causal dependencies and probabilities1.1Background: causation in branching space-times1.2What are probabilities defined for?2. Basic transitions2.1Basics of basic transitions2.2Sets of basic transitions3. Causal probability theory3.1Some simple cases3.2General causal probabilities3.3Application: probability of suprema of a chain" @default.
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- W2054686020 date "2005-09-01" @default.
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- W2054686020 title "Probability Theory and Causation: A Branching Space-Times Analysis" @default.
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- W2054686020 doi "https://doi.org/10.1093/bjps/axi132" @default.
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